This project was done as part of an internship with Technocolabs Pvt. Ltd in Sept, 2021.
This project aims on predicting the future price changes of a stock of a company. This uses the previous prices and financial news related to that particular company. The data required is provided by Technocolabs Pvt. Ltd. The datasets used cover the S&P daily closing price from 1986 to 2018, and historical stock prices from the last 5 years (including the daily open, high, close, and volume) for all companies found on the S&P 500 index as of February 2018. The datasets used contain data related to stock price, opening, closing values and the highest, lowest price that particular stock reached.
To make S& P500 stock investment more accessible to investors and gain more long term profits.
Various ML & DL models were implemented for S&P500 data which can predict the price level and developed polished visualizations to share results of data analyses through Stream-lit using LSTM model which has the highest accuracy 90 - 96.4%.
Deployed Web Application: Link
